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SpaceX Falcon Heavy rocket to launch NASA’s Roman Space Telescope

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NASA has chosen SpaceX’s Falcon Heavy rocket to launch its next major space telescope, a wide-field observatory that should directly complement the brand new James Webb Space Telescope.

Originally known as the Wide Field InfraRed Survey Telescope (WFIRST), NASA recently renamed the mission in honor of Nancy Grace Roman, a foundational force behind the Hubble Space Telescope. Fittingly, the Roman Space Telescope’s basic design is reminiscent of Hubble in many ways, owing to the fact that the mission exists solely because the US National Reconnaissance Office (NRO) chose to donate an unused multi-billion-dollar spy satellite – a satellite that was effectively a secret Earth-facing version of Hubble.

However, thanks to decades of improvements in electronics, electromechanics, and the instrumentation side of spacecraft and space telescopes, RST will be dramatically more capable than the Hubble telescope it resembles. And now, after a several-year fight for survival, the Roman Space Telescope officially has a ride to space – SpaceX’s Falcon Heavy rocket.

Falcon Heavy continues to be a bit of a paradox, winning contract after contract for increasingly high-value flagship launches despite having not launched once in more than three years. It’s a bit of a self-fulfilling prophecy, at this point, as the major missions that are increasingly being entrusted to Falcon Heavy are far more likely to run into significant spacecraft-side delays. At one point in late 2021, for example, SpaceX had five Falcon Heavy launches tentatively planned in 2022 – all but one of which had already been delayed several months to a year or more. Seven months into 2022, not one of those missions has launched and it’s looking increasingly likely that Falcon Heavy will be lucky to fly at all this year.

Nonetheless, the Roman Space Telescope joins an impressive manifest that includes the multi-billion-dollar GOES-U weather satellite, NASA’s ~$5 billion Europa Clipper, two modules (HALO and PPE) of a Moon-orbiting space station, NASA’s Psyche asteroid explorer, a large Astrobotic Griffin lander carrying NASA’s VIPER Moon rover, two large geostationary communications satellites, and three missions for the US military. RST is the rocket’s 11th launch contract between now and the mid-2020s.

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Despite having a similar resolving power, RST’s primary wide-field instrument will have a field of view 100 times greater than Hubble, meaning that the new telescope will be able to gather magnitudes more data in a similar time. Its primary goals include measuring “light from a billion galaxies over the course of the mission lifetime” and performing “a microlensing survey of the inner Milky Way to find ~2,600 exoplanets.” A second coronagraph instrument will “perform high-contrast imaging and spectroscopy of dozens of individual nearby exoplanets.” According to the Jet Propulsion Laboratory, “the Coronagraph provides a crucial stepping stone in the preparation of future missions aiming to [directly] image and characterize Earth-like planets [that are] 10 billion times fainter than their host star.”

According to NASA, “the telescope’s science program also includes dedicated investigations to tackle outstanding questions [about the nature and] effects of dark energy and dark matter, as well as a substantial general investigator program to enable further studies of astrophysical phenomena to advance other science goals.”

Because RST is also focused on infrared wavelengths of light, it could be an excellent companion to the James Webb Space Telescope (JWST). Whereas RST is a wide-field survey observatory that aims to observe and catalog billions of galaxies, stars, and planets, JWST’s far larger mirror is optimized for up-close observation of individual targets or deep gazes into tiny swaths of sky. RST could ultimately work a bit like an MRI or CAT scan to JWST’s biopsy, telling the surgeon where to look but only hinting at what it might find.

According to NASA, the ~$4.3 billion space telescope’s Falcon Heavy launch contract will cost an exceptionally steep $255 million to send the spacecraft to the Sun-Earth L2 Lagrange point about 800,000 kilometers (~500,000 mi) from Earth. NASA’s contract to launch the even more expensive Europa Clipper spacecraft all the way to Jupiter with a fully-expendable Falcon Heavy rocket is expected to cost less than $180 million.

NASA’s press release also claims that RST will be ready to launch as early as October 2026. A different press release from September 2021 did not mention the 2026 target and only noted that RST’s launch is scheduled no later than May 2027.

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo

“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.

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Credit: Grok Imagine

NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance. 

More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system. 

Jensen Huang’s praise for Tesla FSD

Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”

During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:

“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies. 

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“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said. 

Nvidia’s platform approach vs Tesla’s integration

Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.

“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.

He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.

“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”

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He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.

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Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines

The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.

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Credit: xAI/X

xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters. 

The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.

xAI’s turbine deal details

News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.

As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X. 

xAI’s ambitions 

Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”

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The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website. 

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Elon Musk’s xAI closes upsized $20B Series E funding round

xAI announced the investment round in a post on its official website. 

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Credit: xAI

xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. 

xAI announced the investment round in a post on its official website. 

A $20 billion Series E round

As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others. 

Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.

As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”

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xAI’s core mission

Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.

xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5. 

“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote. 

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